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Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Lead AI research to evaluate and benchmark LLMs and AI platforms, translating findings into strategic recommendations for enterprise adoption and investment decisions.
Build and deploy enterprise AI systems, integrating LLMs and reusable services into scalable software platforms while ensuring clean architecture and high availability.
Build AI-first web and mobile apps using React.js, React Native, Node.js, and PostgreSQL, integrating LLM APIs and modern AI tools.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
VIDIZMO is a US-based AI and enterprise video intelligence company and a recognized Microsoft Solutions Partner. We work with Fortune 500 companies, healthcare systems, and enterprises around the world. Our AI-Powered…
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and integrate AI tools (e.g., Claude Code, GitHub Copilot) to automate software delivery tasks like planning, coding, testing, and troubleshooting for enterprise applications in fintech and healthcare.
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Lead AstraZeneca’s Generative AI strategy for chemical development, driving AI-driven automation in lab workflows, documentation, and decision-making to accelerate drug discovery and CMC delivery.
Build and deploy AI/ML models, generative AI, and intelligent automation solutions to improve payments and financial services at a global fintech leader.
Manage a small team of forward-deployed engineers who embed with biopharma clients to rapidly prototype GenAI solutions like RAG pipelines and AI assistants, then mentor those engineers while delivering production code and iterating with stakeholders.
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